The nurse COVID and historical epidemics literature repository: Development, description, and summary.
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ABSTRACT: Background
During COVID-19, a Kaggle challenge was issued to data scientists to leverage text mining to provide high-level summaries of full-text articles in the COVID-19 Open Research Dataset (CORD-19) data set, a data set containing articles around COVID-19 and other epidemics. A question was asked: "What if nursing had something similar?"Purpose
Describe the development and function of the Nursing COVID and Historical Epidemic Literature and describe high-level summaries of abstracts within the repository.Method
Nurse-specific literature was abstracted from two data sets: CORD-19 and LitCOVID. LitCOVID is a data set containing the most up-to-date literature around COVID-19. Multiple text mining algorithms were utilized to provide summaries of the articles.Discussion
As of July 2020, the repository contains 760 articles. Summaries indicate the importance of psychological support for nurses and of high-impact rapid education.Conclusion
To our knowledge, this repository is the only repository specific for nursing that utilizes text mining to provide summaries.
SUBMITTER: Loresto FL
PROVIDER: S-EPMC7846882 | biostudies-literature |
REPOSITORIES: biostudies-literature
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